Monte Carlo Methods
Mostrando 13-24 de 189 artigos, teses e dissertações.
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13. A BIVARIATE GENERALIZED EXPONENTIAL DISTRIBUTION DERIVED FROM COPULA FUNCTIONS IN THE PRESENCE OF CENSORED DATA AND COVARIATES
In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized exponential distribution could be a good alternative to analyze lifetime data in comparison to usual existing parametric lifetime distributions as Weibull or Gamma
Pesqui. Oper.. Publicado em: 2015-04
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14. QSAR Study of the Inhibitors of the Acetyl-CoA Carboxylase 1 and 2 using Bayesian Regularized Genetic Neural Networks: A Comparative Study
Linear and non-linear quantitative structure-activity relationship (QSAR) models were presented for modeling and predicting anti-diabetic activities of a set of inhibitors of acetyl-CoA carboxylase 1 and 2 (ACC1 and ACC2). Different algorithms were utilized to choose the best variables among large numbers of descriptors and then these selected descriptors we
J. Braz. Chem. Soc.. Publicado em: 2015-03
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15. Impact evaluation of the geometry on measurements of solid radioactive waste exposure rates in nuclear medicine
INTRODUCTION: The objective of this paper is to verify the influence of the source geometry on Geiger Müller (GM) exposure rate data. This paper presents a validation of an application based on Monte Carlo (MC) data simulated using Geant4, based on a comparison of the exposure rates calculated via MC and Deterministic Calculations (DC) to experimental (meas
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-12
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16. Evaluation of the scattered radiation components produced in a gamma camera using Monte Carlo method
INTRODUCTION: This paper presents a simulation for evaluation of the scattered radiation components produced in a gamma camera PARK using Monte Carlo code SIMIND. It simulates a whole body study with MDP (Methylene Diphosphonate) radiopharmaceutical based on Zubal anthropomorphic phantom, with some spinal lesions. METHODS: The simulation was done by comparin
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-06
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17. Determination of the carbon market incremental payoff considering a stochastic jump-diffusion process
The objective of this paper is to verify the robustness of the Least Square Monte Carlo and Grant, Vora & Weeks methods when used to determine the incremental payoff of the carbon market for renewable electricity generation projects, considering that the behavior of the price of Certified Emission Reductions, otherwise known as Carbon Credits, may be modeled
Pesqui. Oper.. Publicado em: 2013-12
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18. Imputação múltipla: comparação e eficiência em experimentos multiambientais / Multiple Imputations: comparison and efficiency of multi-environmental trials
In trials of genotypes by environment, the presence of absent values is common, due to the quantity of insufficiency of genotype application, making difficult for example, the process of recommendation of more productive genotypes, because for the application of the majority of the multivariate statistical techniques, a complete data matrix is required. Thus
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
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19. REAL OPTIONS IN PROJECT FINANCE: AN OIL INDUSTRY APPLICATION / OPÇÕES REAIS EM PROJECT FINANCE: UMA APLICAÇÃO NA INDÚSTRIA PETROLÍFERA
The Project Finance structures are increasingly being used to finance investment projects, especially for infrastructural projects. Therefore, a complex legal structure is used to ensure an appropriate allocation of risks to the project stakeholders. This project risk management is very important to ensure the financial viability and success of a structured
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/06/2012
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20. Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series
In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior distribution, respectively. We also considered a reparameterization of those models in order to map the space of the parameters into real space
Pesqui. Oper.. Publicado em: 05/07/2012
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21. Evaluation of radiances generated by solving the radiative-transfer equation with different approaches
Radiative transfer is the main phenomenon in the basis of several relevant problems of scientific and technological interest. Examples of application of the mathematical and computational modeling of such phenomenon can be found in astronomy, environmental sciences, engineering and medicine among many different areas. The integro-differential equation known
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2012-06
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22. Bootstrap confidence intervals for industrial recurrent event data
Industrial recurrent event data where an event of interest can be observed more than once in a single sample unit are presented in several areas, such as engineering, manufacturing and industrial reliability. Such type of data provide information about the number of events, time to their occurrence and also their costs. Nelson (1995) presents a methodology t
Pesquisa Operacional. Publicado em: 03/04/2012
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23. The use of weighted multiple linear regression to estimate QTL-by-QTL epistatic effects
Knowledge of the nature and magnitude of gene effects, as well as their contribution to the control of metric traits, is important in formulating efficient breeding programs for the improvement of plant genetics. Information concerning a genetic parameter such as the additive-by-additive epistatic effect can be useful in traditional breeding. This report des
Genet. Mol. Biol.. Publicado em: 2012
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24. Stochastic modeling of flexible rotors
Flexible rotors are characterized by inherent uncertainties affecting the parameters that influence the dynamic responses of the system. In this context, the handling of variability in rotor dynamics is a natural and necessary extension of the modeling capability of the existing techniques of deterministic analysis. Among the various methods used to model un
J. Braz. Soc. Mech. Sci. & Eng.. Publicado em: 2012